Data Operations Engineer (Hybrid) - 31009
About The Position
As a member of Enlighten’s Data Operations Team, the Data Operations Engineer leads a technically focused team responsible for the reliability, uptime, and speed-to-delivery of mission-critical data sets. The role has a strong customer-facing focus and serves as the primary technical point of contact for stakeholders, translating mission requirements into technical workflows and ensuring data pipelines are automated, documented, and aligned with customer needs. The position focuses on systems engineering and platform stability for high-velocity data across complex ecosystems. It oversees Flow Owners who monitor, troubleshoot, and optimize data infrastructure while maintaining customer communication. The role also drives a transition from reactive data fixing toward a proactive, automated, and adaptive platform. This is a hybrid position requiring an average of 1–2 days per week at Enlighten’s San Antonio, Texas office, with flexibility to adapt to schedule changes. Candidates must currently hold and maintain an active Top Secret U.S. Government Security Clearance and be U.S. citizens. The anticipated salary range is $119,574–$165,000.
Requirements
- Currently hold and maintain an active Top Secret U.S. Government Security Clearance; U.S. citizenship is required.
- Have 9 or more years in technical operations, systems engineering, or data management with a Bachelor’s degree; or 7 years of relevant experience with a Master’s degree in a related field; or a high school diploma or equivalent with 13 years of relevant experience.
- Proven experience managing high-volume data flow and storage solutions, including distributed messaging queues, data orchestration engines, and cloud-native storage.
- Strong familiarity with enterprise observability platforms and log analysis tools for monitoring system health and minimizing data discovery latency.
- Deep understanding of network data, metadata fill rates, and log formats such as JSON and XML.
- Fluency managing extraction, translation, and loading (ETL) processes to enable rapid analytics.
- Experience using SQL for data validation in coordination with team members and customers.
- Ability to use scripting languages such as Python or Java to implement shared libraries that automate repetitive tasks and improve operational efficiency.
- Exceptional ability to communicate technical concepts to non-technical stakeholders and translate customer mission requirements into technical specifications.
- Obtain Security+ certification within 60 days of hire.
- Work in a hybrid environment, spending an average of 1–2 days per week at the San Antonio, Texas office, with flexibility to adapt to schedule changes.
Nice To Haves
- Prior experience in technical account management or a customer-facing engineering role.
- Experience with distributed data processing and cloud-native storage solutions.
- Prior experience supporting cyber or network security operations.
- Knowledge of implementing automated Attribute Based Access Control (ABAC) or data masking within production pipelines.
Responsibilities
- Serve as the lead liaison between the customer and technical team, manage expectations, communicate technical roadmaps, and translate mission-specific data needs into engineering tasks.
- Help manage daily DataOps team operations, accelerating data availability and minimizing latency between data identification and database availability.
- Oversee deployment and maintenance of data flows using standardized templates and core libraries provided by the Engineering team.
- Tune cluster performance and monitor pipelines to maintain data health and minimize discovery latency.
- Drive the technical evolution of the data platform toward a proactive, automated, and adaptive operational model.
- Coordinate technical exchanges so scripts, flow strategies, and successful practices are shared across the ecosystem.
- Implement automated quality gates and schema validations to protect data integrity before production.
- Lead decomposition and troubleshooting of complex systemic dataflow issues across distributed messaging, orchestration, and cloud environments.
- Perform other duties as assigned.
Benefits
- 100% paid employee premium for healthcare, vision, and dental plans.
- 10% 401k benefit.
- Generous paid time off and 10 paid holidays.
- Education and training allowances.
- Additional benefits and perks are available on the company website.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
